Triple

T4821196
Position Surface form Disambiguated ID Type / Status
Subject European Metropolis of Lille E107712 entity
Predicate includesCity P3207 FINISHED
Object Croix
Croix is a suburban commune in northern France that forms part of the Lille metropolitan area.
 E472566 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Croix | Statement: [European Metropolis of Lille, includesCity, Croix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Croix
Context triple: [European Metropolis of Lille, includesCity, Croix]
  • A. Pont-de-l’Isère
    Pont-de-l’Isère is a commune in southeastern France’s Drôme department, known for its location along the Isère River near its confluence with the Rhône.
  • B. La Croix-Valmer
    La Croix-Valmer is a coastal commune on the French Riviera in the Var department of southeastern France, known for its Mediterranean beaches and proximity to Saint-Tropez.
  • C. Reims
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • D. Hautepierre
    Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
  • E. Grand-Croix
    Grand-Croix is the highest grade of distinction traditionally awarded within certain chivalric and military orders of merit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Croix
Triple: [European Metropolis of Lille, includesCity, Croix]
Generated description
Croix is a suburban commune in northern France that forms part of the Lille metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Croix
Target entity description: Croix is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • A. Pont-de-l’Isère
    Pont-de-l’Isère is a commune in southeastern France’s Drôme department, known for its location along the Isère River near its confluence with the Rhône.
  • B. La Croix-Valmer
    La Croix-Valmer is a coastal commune on the French Riviera in the Var department of southeastern France, known for its Mediterranean beaches and proximity to Saint-Tropez.
  • C. Reims
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • D. Hautepierre
    Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
  • E. Grand-Croix
    Grand-Croix is the highest grade of distinction traditionally awarded within certain chivalric and military orders of merit.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c99b46c8190b6fbcf9f98b9e993 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dc3cf5c8190bcd6ef039bab9878 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e8385e08190a46b1e129234c884 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f27f5a48190b639c9212e46f21d completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:24 p.m.